The ball mill pulverizing system(BMPS)with intermediate storage consumes a large amount of electric power in thermal power plants.By combining the tabu search(TS)algorithm and the simulated annealing(SA)algorithm

the method for producing neighborhood solution was improved to enhance the global optimization efficiency.The modified simulated annealing algorithm was applied in a power plant to optimize and control the pulverizing system.The results show this method dramatically enhanced the selfoptimizing efficiency

which reduced the calculation times on the premise of ensuring the global optimization.The pulverizing system reached the design indexes under normal load and high load conditions.